Jobs / United States / US Bank National Association
Senior AI Platform Engineer
US Bank National Association · 🇺🇸 8 Locations
Sponsorship verdict
Sponsorship possible
One solid signal, not two — worth applying, and worth asking about sponsorship early.
- Employer is on a government sponsor recordUSCIS Data Hub records 294 H-1B approvals for this employer in FY2023. Source: USCIS H-1B Employer Data Hub (US Citizenship and Immigration Services).
- The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
- No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
- Last confirmed live 2 days agoWhen a source last listed this job as open.
US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).
A verdict summarises public evidence; it is not legal advice and never a guarantee — the employer and the immigration authority decide. Sign in to factor in where you can already work.
Or apply yourself on the official page →
Sponsor Radar — US Bank National Association
USCIS Data Hub records 294 H-1B approvals for this employer in FY2023. Source: USCIS H-1B Employer Data Hub (US Citizenship and Immigration Services).
Past sponsorship or register membership never guarantees sponsorship for this vacancy or for you. Full Sponsor Radar for US Bank National Association →
About the role
At U.S. Bank, we’re on a journey to do our best. Helping the customers and businesses we serve to make better and smarter financial decisions and enabling the communities we support to grow and succeed. We believe it takes all of us to bring our shared ambition to life, and each person is unique in their potential. A career with U.S. Bank gives you a wide, ever-growing range of opportunities to discover what makes you thrive at every stage of your career. Try new things, learn new skills and discover what you excel at—all from Day One. Job Description Job Summary The Senior Engineer (Generative AI) is responsible for designing, developing, and deploying scalable Generative AI (GenAI) solutions within an enterprise environment. This role requires strong hands-on expertise in LLM-based applications, GenAI architectures, and modern cloud-native engineering practices. The position partners closely with cross-functional teams to build production-ready AI systems that meet enterprise standards for scalability, security, and reliability. Key Responsibilities 1. GenAI Solution Development • Develop and implement GenAI applications leveraging: • Large Language Models (LLMs) • Retrieval-Augmented Generation (RAG) architectures • Prompt engineering techniques • Agentic AI concepts and workflows • Build intelligent pipelines using frameworks such as LangChain, LangGraph, and Microsoft Foundry Agent Service • Evaluate solution performance, accuracy, and scalability of GenAI implementations 2. GenAIOps & Lifecycle Support • Contribute to the end-to-end GenAI lifecycle, including: • Solution design and development • Integration and deployment • Performance tuning and optimization • Support secure deployment, horizontal scaling, and operational stability of GenAI workloads • Assist in implementing monitoring, logging, and observability practices for production environments 3. Cloud, Platform & Scalability Engineering • Develop and deploy GenAI systems across cloud platforms (Azure and AWS) • Contribute to distributed system design for scalable AI workloads • Utilize modern infrastructure practices: • Containerization (Docker) • Orchestration (Kubernetes) • Infrastructure as Code (Terraform, ARM/Bicep) • Ensure solutions meet enterprise expectations for availability, performance, and security 4. Software Engineering & Delivery Excellence • Develop scalable applications using Python and microservices-based architectures • Apply secure coding standards and proper data handling practices for enterprise, regulated environments • Contribute to CI/CD pipelines, automated testing, and deployment workflows • Participate in code reviews and adhere to engineering best practices Basic Qualifications • Bachelor’s degree, or equivalent work experience • Five to six years of relevant experience Experience Should Include • Bachelor’s degree in Computer Science, Engineering, or related field • 7 – 9 years of experience in software or platform engineering • 2+ years hands-on experience with GenAI systems, including LLMs and RAG architectures and vector databases • Understanding of agentic AI concepts and exposure to frameworks such as LangChain or LangGraph • Experience with cloud platforms (Azure and/or AWS) • Knowledge of distributed systems and scalable application design • Proficiency in Python development • Experience with Docker, Kubernetes, and Infrastructure as Code tools • Experience deploying GenAI or ML solutions in production environments • Familiarity with observability and monitoring tools • Understanding of AI governance, compliance, and security practices • Experience in financial services or other regulated industries is a plus Core Competencies Technical Execution • Applies strong software engine